AI called artificial intelligence is a gaining technology which focuses on building up the system that can perform tasks that require human intelligence. AI can learn the data and identify its pattern to make decisions without the need of human help as well as has the capacity to solve logical reasoning that includes understanding complex problems and deriving its solutions on its own. One of the most delightful factors of AI is its ability to comprehend, interpret and generate human language. It had NLP (natural language processing) that helps the machine to read, react and understand human languages. As AI will be the future its very important for you to learn AI Based Digital Marketing Course, to beat the competition.
So now the question remains “how does AI works?” Well AI is worked by mimicking intelligence of human thinking using algorithms with statistical models and large amount of data. Here is the brief overview about how AI works:
- Data Collection: AI systems gather large amounts of data from various sources.
- Data Processing: The data is cleaned and prepared for analysis.
- Training: Algorithms are trained on this data to create models. In supervised learning, the data is labeled with correct answers; in unsupervised learning, the system looks for patterns; in reinforcement learning, the system learns through trial and error.
- Modeling: The trained model learns to make predictions or decisions based on new data.
- Evaluation: The model is tested for accuracy and adjusted as necessary.
- Deployment: The model is integrated into applications to provide real-time predictions or decisions.
- Monitoring and Updating: The models are continually monitored and updated to maintain performance over time.
AI vs JOB- the automation dilemma?
AI poses a threat to certain jobs due to its ability to automate tasks that are repetitive, routine, or based on data analysis. Let’s take a look at how AI can possess a threat to the jobs:
Automation of repetitive task:
- Data Entry and Processing: AI algorithms are capable of handling large volumes of data entry and processing tasks, reducing the need for human data clerks.
Customer service and calls:
- Virtual assistance: nowadays AI can handle customer inquiries by providing information and various answer to the quires asked by customer without the interference of human. This significantly reduces the demand for jobs in the customer help center.
Clerical work:
- Scheduling and management: ai nowadays can book your appointment online, schedule your meetings and manage the task without the need of human interference. It can automate the organization and archival of the documents eliminating the role of humans in that department.
Financial services:
- Fraud detection: AI can significantly detect fraud transactions or anything illegal more efficient than human can, this significantly reduces the need of jobs in financial analysis.
While AI does pose a threat to certain jobs but at the same time it also offers magnificent opportunities for job creation and transformation. While some jobs are at risk due to rise in machines but it also creates new roles and molds existing ones into better which leads to job creation and opportunities in various sectors.
Google meets its match: The rise of GPT
GOOGLE GEMINI:
Google Gemini was launched on 06 December 2023 and it was marked as “our most capable and general model” by the google company. This AI model was developed by Google to rebuild its range of products and services with powerful machine. It was initially introduced as Gemini 1.0 and then got upgraded to Gemini 1.5. This AI model supports a wide range of activities that includes text processing, image creation, and interaction with various Google services like Gmail, Google Maps, and YouTube.
CHAT GPT:
GPT stands for generative pre- trained transformer and it was launched on 30 November 2022. It was developed by OpenAI. It is an advanced language model which is based on GPT-4 architecture. It understands and generate text similar to human intelligence. It works on the input it receives from the user. It can assist with wide range of task that includes answering the questions asked with proper explanations and creating written content, and engaging in conversation. It keeps record of vast amount of data to contextually provide responses. It makes valuable tool for both personal and professional use.
Virtual intelligence versus: Chat GPT vs Google Gemini
ChatGPT and Google Gemini are both advanced AI models, but they have distinct differences in their design, capabilities, and use cases.
CHAT GPT:
- Developer: OpenAI
- Architecture: Based on the GPT-4 model
- Primary Use: Conversational AI, text generation, question answering, content creation, and general-purpose AI tasks.
- Strengths:
- Strong natural language understanding and generation.
- Versatile in various domains due to extensive training data.
- Capable of holding coherent conversations and producing detailed, contextually relevant responses.
- Applications: Customer support, content writing, tutoring, brainstorming, and more.
GOOGLE GEMINI:
- Developer: Google
- Architecture: Part of Google’s AI ecosystem, specific architecture details may vary.
- Primary Use: Similar to ChatGPT, designed for conversational AI and advanced natural language processing tasks.
- Strengths:
- Integration with Google’s extensive data and services.
- Strong performance in information retrieval and contextual understanding due to Google’s search engine capabilities.
- Potentially more integrated with Google products and services.
- Applications: Enhanced search capabilities, Google Assistant, content generation, automated responses, and other AI-driven services within Google’s ecosystem.
Comparison:
- Integration: Google Gemini may have an edge in integration with Google’s suite of products, leveraging its vast data and services.
- Performance: Both models are advanced, but their performance can vary based on specific tasks and contexts. ChatGPT is known for its versatile and coherent text generation, while Gemini may excel in tasks closely tied to Google’s ecosystem.
- Accessibility: ChatGPT is widely accessible through various platforms and APIs, while Google Gemini’s availability might be more integrated into Google’s own products and services.
In summary, while both ChatGPT and Google Gemini are powerful AI models, their differences lie in their development backgrounds, integration capabilities, and specific strengths, making each suitable for different applications and user needs. Ultimately, the choice between ChatGPT and Google Gemini depends on specific use cases, with ChatGPT offering broad applicability and conversational depth, while Google Gemini provides strong performance and integration within Google’s product landscape.
